Collaborative BCI: two minds are better than one at steering a thought-controlled virtual spacecraft

Scientists at the University of Essex have been working with NASA on a ‘collaborative BCI’ project where multiple users controlled the same virtual spacecraft by thought alone. Using brain-computer interface (BCI) technology, they found that combining the brain power of two people could be more accurate in steering a spacecraft than one person.

Researchers at Essex have already been undertaking extensive projects into using BCI to help people with disabilities to enable spelling, mouse control or to control a wheelchair. The research involves the user carrying our certain mental tasks which the computer then translates into commands to move the wheelchair in different directions.

The University has built-up an international reputation for its BCI research and is expanding its work into the new area of collaborative BCI, where tasks are performed by combining the signals of multiple BCI users.

The £500,000 project with NASA’s Jet Propulsion Lab in Pasadena, California, involved two people together steering a virtual spacecraft to a planet using a unique BCI mouse, developed by scientists at Essex.

Using electroencephalography (EEG), the two users wore a cap with electrodes which picked up different patterns in the brainwaves depending on what they were focusing their attention on a screen – in this case one of the eight directional dots of the cursor. Brain signals representing the users’ chosen direction, as interpreted by the computer, were then merged in real time to produce control commands for steering the spacecraft.

As Professor Riccardo Poli explained, the experiment was very intense and involved a lot of concentration. With two people taking part in the test, the results were more accurate as the system could cope if one of the users had a brief lapse in concentration.

Analysis of this collaborative approach showed that two minds could be better than one at producing accurate trajectories. Combining signals also helped reduce the random “noise” that hinders EEG signals, such as heartbeat, breathing, swallowing and muscle activity. “When you average signals from two people’s brains, the noise cancels out a bit,” added Professor Poli.

Professor Poli said an exciting development for BCI research in the future relates to joint decision making, where a physiological signal, like pressing a button, and brain activity can be combined to give a superior result. “It is like measuring someone’s gut feeling,” added Professor Poli.